Extract data that is inside a bracket-CodePudding

I have been using rapid api to get some data on certain food products and below is an example of the json data i got back. I have been able to get some data such as the ingredients and but where i am struggling is getting the data that are nested inside each other. My question is how would i be able to get for example the data of "amount" which is inside nutrients in python.

"ingredients": "Whole Grain Corn, Sugar, Corn Syrup, Corn Meal"


"nutrition": {
    "nutrients": [
       {
            "name": "Calcium",
            "amount": 100.0,
            "unit": "mg",
            "percentOfDailyNeeds": 10.0
       },
       {
            "name": "Carbohydrates",
            "amount": 23.0,
            "unit": "g",
            "percentOfDailyNeeds": 7.67
       },

The way which i was able to get the ingredients was by doing this which worked and printed out the ingredients

 ingredients = response.json().get("ingredients")

But how would i do the same thing to get specific data inside nutrients such as the "name" carbohydrates?

CodePudding user response：

It's a list (https://docs.python.org/3/tutorial/datastructures.html).

You can access it by the index (starting at 0). So to get Carbohydrates you would do dictName["nutrition"]["nutrients"][1]["name"]. To get Calcium you would do dictName["nutrition"]["nutrients"][0]["name"].

It's probably easiest to just assign and then loop through with

nutrients = dictName["nutrition"]["nutrients"]

for nutrient in nutrients:
    print(nutrient["name"])

CodePudding user response：

You can do this with a filter too, which would look something like this

carbs = list(filter(lambda x: x['name'] == 'Carbohydrates', response.json()['nutrition']['nutrients']))

Which is a bit more compact. The output you get is

[{'name': 'Carbohydrates', 'amount': 23.0, 'unit': 'g', 'percentOfDailyNeeds': 7.67}]

CodePudding user response：

Simplest solution would be to unpack your values one level at a time:

data = response.json() 
nutrition = data.get("nutrition", [])
nutrients = [
    item 
    for item in nutrition.get("nutrients", [])
    if item.get("name") == "Carbohydrates"
]
if nutrients:
    print(nutrients[0])

The trickiest part is working with the array. I've used list comprehension to build a new filtered list (some would prefer filter function), and then printed an item if the list is non-empty